Final Project

RL-GLue : http://glue.rl-community.org/wiki/Main_Page
The following paper gives you an idea of what RL-GLue offers: pdf
It is language independent. You can run your own agent program in any language of your choice. Its main purpose is to provide a standard platform where everybody can test their RL algorithms, and report results.
More information can be found here : link

PyBrain : link
PyBrain, as its written-out name already suggests, contains algorithms for neural networks, for reinforcement learning (and the combination of the two), for unsupervised learning, and evolution. Since most of the current problems deal with continuous state and action spaces, function approximators (like neural networks) must be used to cope with the large dimensionality. The library is built around neural networks in the kernel and all of the training methods accept a neural network as the to-be-trained instance.
I believe this can be a good resource for those who are planning to work on continuous domains.